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NativeScript VS DDL to Data

Compare NativeScript VS DDL to Data and see what are their differences

NativeScript

Build truly native apps with JavaScript

Rating
0 reviews
Pricing
Open source
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Alternatives Is it good?
DDL to Data

Turn SQL schemas into realistic test data in seconds. Perfect for testing, demos, and development.

Rating
0 reviews
Pricing
$19 / Monthly (500 API calls/month 50,000 rows/month)
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Alternatives Is it good?
KindProxy
KindProxy offers rotating residential and static ISP proxies across 198+ countries and regions. Featuring HTTP(S) and SOCKS5 support, sticky sessions, and city and ASN targeting, it's ideal for web scraping, SEO monitoring, market research, ad verifi sponsored

Which is more popular?

Based on our record, NativeScript seems to be more popular. It has been mentioned 22 times since March 2021.

social mentions
22 vs 0
Development Tools popularity
100% vs 0%
alternatives listed
182 vs 15

Base details

Website, pricing, platforms and company facts side by side.

NativeScript
DDL to Data
Website nativescript.org ddltodata.com
Pricing
Open source
$19 / Monthly (500 API calls/month 50,000 rows/month) Official pricing
Company — Startup from the United States · 2025
Listed in
Development Tools JavaScript Framework Javascript UI Libraries Developer Tools +1
Developer Tools API Tools QA Tools Testing Test Data Generator +2

About NativeScript and DDL to Data

In their own words, as submitted to SaaSHub.

NativeScript
DDL to Data

No description of NativeScript yet.

DDL to Data is a developer tool that automatically generates realistic test data from SQL schemas. Simply paste your CREATE TABLE statement and get back JSON data with smart type detection—column names like "email" produce real email formats, "phone" produces phone numbers,...

Read more about DDL to Data

Features and specs

What each product offers, as listed by its team.

NativeScript 6 features
DDL to Data 6 features
  • Cross-Platform Development
    NativeScript allows developers to write code once and deploy it across multiple platforms, including iOS and Android, which saves time and resources.
  • Native Performance
    Since NativeScript directly uses native components, it delivers high performance comparable to native applications, unlike some other cross-platform solutions.
  • Rich Ecosystem
    NativeScript offers a rich ecosystem of plugins and modules, making it easy to extend functionalities and integrate with various services.
  • Single Codebase
    Maintaining a single codebase for both iOS and Android reduces development and debugging efforts.
  • Open Source
    Being open source, NativeScript has strong community support and continuous improvements driven by developers around the world.
  • Access to Native APIs
    NativeScript allows direct access to native APIs, giving developers more flexibility and control over platform-specific features.

Possible disadvantages

  • Steep Learning Curve
    The framework requires an understanding of native development concepts, which can be complex for new developers or those not familiar with mobile development.
  • Lack of Third-Party Components
    Compared to more mature frameworks, NativeScript has a limited number of third-party libraries and UI components available.
  • Performance Overhead
    Despite high performance, there is still some overhead compared to fully native applications due to the abstraction layer.
  • Limited Community Support
    Although the community is growing, it is still smaller compared to mainstream frameworks like React Native or Flutter, which might result in slower issue resolution and fewer resources.
  • Maintenance and Updates
    Keeping the framework and its plugins up to date with the latest iOS and Android releases can be challenging and resource-intensive.
  • Smart Type Detection
    Generates realistic data based on column names (email, phone, address, etc.)
  • Database Support
    PostgreSQL, MySQL, SQLite
  • Foreign Key Support
    Generates consistent, referentially-intact relational data
  • Response Format
    JSON, SQL, CSV, PARQUET, XLSX
  • Free Tier
    100 API calls + 5,000 rows/month
  • Schema Storage
    Save and reuse schemas for repeat generation

Analysis

An editorial look at what each product does well and who it suits.

NativeScript
DDL to Data

Overall verdict

  • NativeScript is considered a good choice for developers seeking to create cross-platform mobile applications with a native look and feel while using web technologies they are already familiar with. It balances the flexibility of web development with the performance and capability of native apps.

Why this product is good

  • NativeScript is a popular open-source framework for building native mobile applications using JavaScript, TypeScript, Angular, Vue.js, or Svelte. It allows developers to write and maintain a single codebase for both iOS and Android, which can significantly reduce development time and effort. NativeScript provides access to native APIs, ensuring that apps can leverage device capabilities to deliver a truly native user experience. Additionally, the community and plugin ecosystem offer resources and tools to enhance app functionality and streamline development processes.

Recommended for

  • Web developers looking to leverage their existing skills to build mobile apps.
  • Teams that need to maintain a single codebase for multiple platforms.
  • Projects that require deep integration with native device features.
  • Developers familiar with frameworks like Angular, Vue.js, or Svelte who want to build mobile applications.

Overall verdict

  • I don't have verified, up-to-date information about ddltodata.com specifically, so I can't confirm its quality, reliability, or legitimacy. Based on the name, it appears to be a tool that generates sample/mock data from DDL (Data Definition Language) schema statements, but I have no firsthand or sourced data on user reviews, security practices, or company reputation for this exact site.

Why this product is good

  • Tools that convert DDL schemas into sample data can be useful for quickly populating test databases without manual data entry
  • If it works as implied by the name, it could save developers time during testing, prototyping, or QA environments
  • Such tools often support multiple SQL dialects (e.g., MySQL, PostgreSQL, SQL Server), which can be convenient for cross-platform projects
  • Web-based converters typically don't require software installation, lowering the barrier to entry for quick tasks

Recommended for

  • Developers or QA testers needing to quickly generate mock data for database testing
  • Small teams prototyping database schemas who want sample data without writing custom scripts
  • Users who have verified the site's legitimacy and reviewed its privacy/security policies for handling any schema information
  • Anyone willing to independently confirm the tool's accuracy and data handling practices before uploading real schema files

Videos

Walkthroughs and reviews on video.

NativeScript 3 videos + Add
DDL to Data 0 videos + Add

NativeScript VS React Native 2019 | performance | community | plugins

More videos

  • - Which one is best for you? Flutter, React Native, Ionic or NativeScript?
  • - 7 Things to Know When Learning NativeScript

No DDL to Data videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
NativeScript
DDL to Data
100% 100%
Development Tools
0% 0%
87% 87%
Developer Tools
13% 13%
100% 100%
JavaScript Framework
0% 0%
0% 0%
Testing
100% 100%

Questions & Answers

As answered by people managing NativeScript and DDL to Data.

What makes your product unique?

DDL to Data's answer:

No LLM, no prompts, no AI costs. DDL to Data uses deterministic pattern-matching — not machine learning — to generate realistic test data from your SQL schema in milliseconds. It's fast, predictable, and won't hallucinate. Column named "email" produces an email, "phone" produces a phone number. Same schema, same structure, every time. Plus it handles foreign key relationships to generate referentially-intact data across multiple tables.

Why should a person choose your product over its competitors?

DDL to Data's answer:

Unlike AI-powered tools, DDL to Data has zero token costs, sub-second response times, and deterministic output, critical for CI/CD pipelines. Unlike Faker libraries, it requires zero configuration: paste your CREATE TABLE and get intelligent, type-aware data without writing any setup code. It also supports multiple output formats (JSON, CSV, SQL, Parquet, Excel) and can seed data directly into your PostgreSQL database.

How would you describe the primary audience of your product?

DDL to Data's answer:

Backend developers, QA engineers, and DevOps teams who need realistic test data for database testing, seeding dev environments, CI/CD pipelines, and product demos. Particularly useful for teams who want a reliable, no-config utility that just works, without adding AI dependencies to their infrastructure.

What's the story behind your product?

DDL to Data's answer:

Every new project meant the same tedious ritual: write the schema, then manually create arrays of fake emails, phone numbers, and timestamps. Over and over. It struck me that the schema already contains everything needed to generate realistic data, column names are semantic. "email" means email, "created_at" means timestamp. So I built an API that does the obvious thing automatically, without any AI complexity

Which are the primary technologies used for building your product?

DDL to Data's answer:

FastAPI (Python) backend with PostgreSQL and SQLAlchemy. Next.js 14 frontend with TypeScript and Tailwind CSS. Hosted on AWS with Docker containers, and CircleCI for CI/CD.

Who are some of the biggest customers of your product?

DDL to Data's answer:

Currently in public beta and growing organically. Early adopters include indie developers and small engineering teams using it for local development and automated testing pipelines.

User comments

Share your experience with using NativeScript and DDL to Data. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

NativeScript no reviews yet
DDL to Data no reviews yet

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

NativeScript 22 mentions
DDL to Data 0 mentions
  • Comparing Ionic, NativeScript & React Native
    NativeScript (originally called Telerik NativeScript) enables developers to create truly native mobile applications using JavaScript or TypeScript. Unlike Ionic, it does not use WebView but accesses native APIs directly. If you know you... - Source: dev.to / about 1 month ago
  • Top 10 Frameworks for Hybrid Mobile Apps in 2026
    NativeScript is a hybrid mobile app framework that allows developers to build truly native iOS and Android apps using JavaScript, TypeScript, or Angular. Unlike frameworks that rely on WebViews, NativeScript provides direct access to... - Source: dev.to / 11 months ago
  • What are JavaScript Engines?
    NativeScript is a good example of a runtime built specifically for cross-platform native mobile application development built using JavaScript. - Source: dev.to / almost 2 years ago

View more

Tracking DDL to Data since Dec 2025.

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